Usage examples of "believe it or not" in English with translation to Spanish

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Believe it or not, she has three children. Lo creas o no, ella tiene tres hijos.
Believe it or not, this woman has three kids. Lo creas o no, esta mujer tiene tres hijos.
Believe it or not, Tom is 70 years old. Lo creas o no, Tom tiene 70 años.
Believe it or not, a monster emerged from the bush. Lo creas o no, un monstruo apareció del arbusto.
Believe it or not, there are people who like these stuff. Lo creas o no, hay gente a quien le gustan estas cosas.
Believe it or not, villains aren't always the most twisted characters. Aunque no lo creas, los villanos no son siempre los personajes más retorcidos.
Whether you like it or not doesn't matter. Da igual si te gusta o no.
You must do your duty, whether you like it or not. Debes hacer tus deberes, te guste o no.
It was not clear whether they had accomplished it or not. No quedó claro si lograron hacerlo o no.
You have to do it, whether you like it or not. Tienes que hacerlo, quieras o no.
You'll have to do it, whether you like it or not. Tendrás que hacerlo, te guste o no.
Whether you like it or not, you'll have to do it. Tendrás que hacerlo, te guste o no.
The question is whether he can do it or not. La cuestión es si él puede hacerlo.
You must learn English whether you like it or not. Debes aprender inglés te guste o no.
Whether he wrote it or not will always remain a secret. Si lo escribió o no siempre seguirá siendo un secreto.
Whether you like it or not, you have to do your homework. Te guste o no, tienes que hacer tu tarea.
Like it or not, you must do it. Te guste o no, tienes que hacerlo.
I made a mistake in sending it or something. Cometí un error enviándolo o algo.
Better believe it. Mejor creelo.
Do you have to go abroad again or not anymore? ¿Tienes que ir otra vez al extranjero, o ya no más?
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Examples of word usage in different contexts are provided solely for linguistic purposes, i.e. to study word usage in a sentence in one language and how they can be translated into another. All samples are automatically collected from a variety of publicly available open sources using bilingual search technologies.
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